Triple
T13537542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devious Maids |
E323299
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Carmen Luna
Carmen Luna is a fiercely ambitious and witty Latina maid and aspiring singer who navigates love, class, and career struggles in the TV series "Devious Maids."
|
E1046659
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Carmen Luna | Statement: [Devious Maids, mainCharacter, Carmen Luna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmen Luna Context triple: [Devious Maids, mainCharacter, Carmen Luna]
-
A.
Laura del Sol
Laura del Sol is a Spanish actress best known internationally for her roles in films such as "The Hit" and Carlos Saura’s flamenco dramas.
-
B.
Luna Vachon
Luna Vachon was a distinctive and charismatic professional wrestler known for her wild persona, raspy voice, and influential role in women’s wrestling during the late 1980s and 1990s.
-
C.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
D.
Rosanna
Rosanna is a feminine given name of Latin origin, derived from a combination of "Rose" and "Anna."
-
E.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Carmen Luna Triple: [Devious Maids, mainCharacter, Carmen Luna]
Generated description
Carmen Luna is a fiercely ambitious and witty Latina maid and aspiring singer who navigates love, class, and career struggles in the TV series "Devious Maids."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carmen Luna Target entity description: Carmen Luna is a fiercely ambitious and witty Latina maid and aspiring singer who navigates love, class, and career struggles in the TV series "Devious Maids."
-
A.
Laura del Sol
Laura del Sol is a Spanish actress best known internationally for her roles in films such as "The Hit" and Carlos Saura’s flamenco dramas.
-
B.
Luna Vachon
Luna Vachon was a distinctive and charismatic professional wrestler known for her wild persona, raspy voice, and influential role in women’s wrestling during the late 1980s and 1990s.
-
C.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
D.
Rosanna
Rosanna is a feminine given name of Latin origin, derived from a combination of "Rose" and "Anna."
-
E.
Rosalinda
Rosalinda is a feminine given name of Spanish and Italian origin, often interpreted to mean "beautiful rose."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafbe39948190808062d4eff91841 |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d9a448c81908fa57a909a9097f7 |
completed | May 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69f75e7d8970819092116ae7a769ac21 |
completed | May 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f75f35c6008190b88e14feddb93a1d |
completed | May 3, 2026, 2:44 p.m. |
Created at: April 9, 2026, 9:45 p.m.